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Data Engineer Job Description Template

A top-notch Data Engineer job description is your first chance to attract top talent. Drawing from interviewing and hiring thousands of engineers, Terminal's developer job description template library can help you target the right make a great first impression.

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Data Engineer Job Description

Data engineers play a crucial role in building a business’s data infrastructure. They occupy a leading position in any company’s data team because they create pipelines to retrieve, manage, and organize data into a format data analysts and scientists can easily use.
Creating an attractive job description using a well-written template will enable you to attract exceptional talents and meet your organizational targets.

Data Engineer Job Description Template

Our company is looking for a skilled data engineer with a keen eye for detail and strong collaboration skills. If employed, you will join our data team and modify our data management infrastructure to improve the performance of our analysts.

As a data engineer at [Company], your job will include creating algorithms to process data and combining data from various sources. Ideal candidates for this role must be skilled in Python or any other relevant programming language and have knowledge of relational and non-relational databases.

About the Company

[Company], founded in [year], is a [type of business] that [what you do]. We value diversity and equality, which is reflected in our highly inclusive and collaborative work environment. Our corporate vision is [vision statement].

At [Company], we offer you the opportunity to add value at a rapidly growing organization, develop your skills, and make meaningful connections with other exceptional talents.

Job Responsibilities

- Design data pipelines
- Create algorithms for cleaning and processing data
- Team up with data scientists to discover trends and conduct predictive analysis
- Combine data from multiple sources
- Improve data quality and accuracy
- Manage databases
- Incorporate machine learning models to support data architecture
- [Insert any others…]


Must Have Qualifications

- [–] years of experience in a similar role
- Strong understanding of programming languages such as Python, Java, and Scala
- Ability to work with database management systems
- Basic knowledge of machine learning concepts
- Experience working with ETL tools like Apache Airflow and AWS Data Pipeline
- Knowledge of cloud deployment technologies
- Ability to work with multiple operating systems, e.g., Linux, Windows, and UNIX
- [Insert any others…]

Nice to Have Qualifications

- Bachelor’s degree or higher in computer science, software development, information technology, or similar fields.
- Superb time management skills.
- Exceptional critical thinking skills.
- Ability to collaborate effectively.
- [Insert any others…]

Sections of a Data Engineer Job Description

  • Data Engineer Job Description Overview
  • Data Engineer Job Titles
  • About the Company
  • Data Engineer Job Responsibilities
  • Must-have Skills and Qualifications
  • Nice-to-have Skills and Qualifications
  • Salary, Benefits, and Perks

Data Engineer Job Description Overview

While there is undoubtedly an endless treasure trove of data, a significant percentage of this information is unstructured and unfit for further analysis. Data engineers are responsible for building organized datasets that can produce valuable insights.

Data engineers are often part of a data team that includes analysts and scientists. Their role is essential because they design the systems that enable the other data team members to function effectively.

When a company has experienced data engineers, its analysts, and scientists can spend less time cleaning data and preparing it for further action. Hiring a data engineer guarantees that data collection, management, and storage are done according to best practice standards.
To find the right fit for your company, you must ensure that your job description, title, skills, and responsibilities capture your requirements.

Data Engineer Job Titles

Applicants first look at the job title before deciding to proceed with the rest of the job description. Job titles also play a massive role in enhancing the discoverability of an opening. Furthermore, you should specify whether you’re hiring for an entry, mid-level, or senior position.

Your job title must be clear, straightforward, and incorporate popular keywords. SEO optimization is critical if you want your job posting to appear at the top of search engines and job boards. Find common keywords among the top search results for similar job postings and incorporate them into your title description.

An excellent job title should be written with a focus on potential applicants. This means you must avoid using internal references that outsiders may not understand. Also, it is wise to avoid including abbreviations unless they are widely known and accepted. 

Sample Job Titles for Data Engineer:

- Data Engineering Associate
- Data Warehouse Architect
- Data Engineer I

About the Company

Here, you should explain to the candidate why your company is an attractive destination for top talent. Briefly discuss your value proposition, unique selling points, and company culture. Mention your industry and let the potential candidates know what they stand to gain by working with you.

Sample Company Description:

[Company], founded in [year], is a [type of business] that [what you do]. We value diversity and equality, which is reflected in our highly inclusive and collaborative work environment. Our corporate vision is [vision statement].

At [Company], we offer you the opportunity to add value at a rapidly growing organization, develop your skills, and make meaningful connections with other exceptional talents.

Data Engineer Job Responsibilities

Before applying, candidates typically examine the outline of job responsibilities to determine if they can carry out the listed responsibilities. This part of the template is important because it sets the tone for future performance evaluations after employment.

After providing a general overview of the role in the description section above, you can outline the job's major responsibilities in more detail here. Presenting these tasks in a bulleted-point format is usually best for easy readability. Also, aim to keep the language simple and avoid unnecessary jargon.

Depending on the nature of the role, employees may be required to architect and develop solutions, create documentation for software programs, work in a distributed team, perform system testing and quality assurance practices, and more.

Your job description may also include other aspects, such as frequent presentations to stakeholders and participation in brainstorming sessions with other team members.

Sample Job Responsibilities for Data Engineer:

- Design data pipelines
- Create algorithms for cleaning and processing data
- Team up with data scientists to discover trends and conduct predictive analysis
- Combine data from multiple sources
- Improve data quality and accuracy
- Manage databases
- Incorporate machine learning models to support data architecture
- [Insert any others…]

Must-have Skills and Qualifications

Every job role has non-negotiable requirements for success, commonly referred to as “must-have skills.” Using simple and concise language, outline any mandatory prerequisites (if available), such as education, certifications, technical skills, programming languages, software competencies, and work experience.

Sample Must-have Qualifications for Data Engineer:

- [–] years of experience in a similar role
- Strong understanding of programming languages such as Python, Java, and Scala
- Ability to work with database management systems
- Basic knowledge of machine learning concepts
- Experience working with ETL tools like Apache Airflow and AWS Data Pipeline
- Knowledge of cloud deployment technologies
- Ability to work with multiple operating systems, e.g., Linux, Windows, and UNIX
- [Insert any others…]

Nice-to-have Skills and Qualifications

Nice-to-have qualifications are not mandatory for stellar on-the-job performance. However, these skills are an added advantage for candidates who possess them. They allow candidates to distinguish themselves from the rest of the pack and increase their chances of landing a job.

In this section, you can briefly state any non-mandatory qualifications for your job posting.


Sample Nice-to-have Qualifications for Data Engineer:

- Bachelor’s degree or higher in computer science, software development, information technology, or similar fields.
- Superb time management skills.
- Exceptional critical thinking skills.
- Ability to collaborate effectively.
- [Insert any others…]

Salary, Benefits, and Perks

Times have changed, and companies are now more open to disclosing their remuneration rates in job postings. According to data from Indeed.com, up to 50% of recent job ads now include salary information. In this era of increasing pay transparency, being open about how much you’re willing to pay for the listed role is not out of place.

Here, you can highlight your monthly or yearly pay as well as other special benefits offered by your company. This is your chance to detail the core benefits your company provides, such as health, dental, and vision care, retirement plans, equity, stock options, or paid holidays.

In addition to this, you can list any other perks and benefits like meals, work-from-home stipends, fitness reimbursements, mental health programs, career development opportunities, sabbaticals, and more.

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Data Engineer interview questions

Looking for a comprehensive list of interview questions to evaluate a Data Engineer? We've got you covered! Check out our list of 15 detailed and insightful interview questions for Data Engineer.

View Interview Questions

Job Description Template Library

Terminal's comprehensive library of developer job descriptions will help you attract top talent faster.

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